{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/Christina/Dropbox/Work/Projects/2011/Cartagena/analysis/replication package/cartagena_replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Jun 2011, 11:41:12
{txt}
{com}. **Figure 3**;
. stset cartafail_mths1, fail(cartafail_dum1) id(ccode);

                {txt}id:  {res}ccode
     {txt}failure event:  {res}cartafail_dum1 != 0 & cartafail_dum1 < .
{txt}obs. time interval:  {res}(cartafail_mths1[_n-1], cartafail_mths1]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}     1342{txt}  total obs.
{res}      443{txt}  event time missing (cartafail_mths1>=.)              PROBABLE ERROR
{hline 78}
{res}      899{txt}  obs. remaining, representing
{res}      183{txt}  subjects
{res}      128{txt}  failures in single failure-per-subject data
{res}    10177{txt}  total analysis time at risk, at risk from t = {res}        0
                             {txt}earliest observed entry t = {res}        0
                                  {txt}last observed exit t = {res}       96
{txt}
{com}.  sts graph, failure ci legend(off) scheme(s1mono)  xtitle("Months") title("");

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode
{txt}
{com}.  **Descriptive Statistics**;
. drop missind;
{txt}
{com}. gen missind = missing(cartafail_mths1) +missing(aid_us) + missing(aid_eu)+missing(mnna)+missing(gmo_tot) + missing(euapplicant)
>         + missing(eumember) + missing(population_ln) + missing(polity) + missing(gdp_percap_ln)+missing(pta_us)+missing(pta_eu)
>         +missing(military)+missing(govright)+missing(presidential)+missing(carta_sign)+missing(carta_rat_pct)+missing(nato)+missing(export_us)
>         +missing(export_eu);
{txt}
{com}. sum cartafail_mths1 aid_us aid_eu mnna gmo_tot euapplicant eumember population_ln polity gdp_percap_ln pta_us pta_eu 
>         export_eu export_us military govright presidential carta_sign carta_rat_pct europe americas africa asia nato 
>         if year>1999&missind==0;

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
cartafail~s1 {c |}{res}       543    31.60221    15.56299         10         72
{txt}{space 6}aid_us {c |}{res}       543    5.261522    14.49852          0   171.9948
{txt}{space 6}aid_eu {c |}{res}       543    4.954586    9.984053          0   108.5991
{txt}{space 8}mnna {c |}{res}       543    .0773481    .2673893          0          1
{txt}{space 5}gmo_tot {c |}{res}       543    .2208103    1.395495          0       16.2
{txt}{hline 13}{c +}{hline 56}
{space 1}euapplicant {c |}{res}       543    .0662983    .2490323          0          1
{txt}{space 4}eumember {c |}{res}       543    .0718232     .258433          0          1
{txt}population~n {c |}{res}       543    16.17086    1.483579   13.17852   20.98267
{txt}{space 6}polity {c |}{res}       543    6.465009    3.266411          0         10
{txt}gdp_percap~n {c |}{res}       543    7.453934    1.556505   4.696362   10.54618
{txt}{hline 13}{c +}{hline 56}
{space 6}pta_us {c |}{res}       543    .0331492    .1791911          0          1
{txt}{space 6}pta_eu {c |}{res}       543    .0626151    .2424928          0          1
{txt}{space 3}export_eu {c |}{res}       543    .5337637    .8707872   .0080975   5.889802
{txt}{space 3}export_us {c |}{res}       543    .2419282    .4308141          0   2.923634
{txt}{space 4}military {c |}{res}       543     .174954     .380278          0          1
{txt}{hline 13}{c +}{hline 56}
{space 4}govright {c |}{res}       543    .1270718    .3333605          0          1
{txt}presidential {c |}{res}       543    .7384899    .4398624          0          1
{txt}{space 2}carta_sign {c |}{res}       543    .5561694    .4972931          0          1
{txt}carta_rat_~t {c |}{res}       543    21.87743    20.81944   .5235602   56.77083
{txt}{space 6}europe {c |}{res}       543    .2228361    .4165329          0          1
{txt}{hline 13}{c +}{hline 56}
{space 4}americas {c |}{res}       543     .174954     .380278          0          1
{txt}{space 6}africa {c |}{res}       543    .2744015    .4466236          0          1
{txt}{space 8}asia {c |}{res}       543    .1841621    .3879737          0          1
{txt}{space 8}nato {c |}{res}       543    .0847145    .2787132          0          1
{txt}
{com}. **Table 3**;
. stset cartafail_mths1, fail(cartafail_dum1) id(ccode);

                {txt}id:  {res}ccode
     {txt}failure event:  {res}cartafail_dum1 != 0 & cartafail_dum1 < .
{txt}obs. time interval:  {res}(cartafail_mths1[_n-1], cartafail_mths1]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}     1342{txt}  total obs.
{res}      443{txt}  event time missing (cartafail_mths1>=.)              PROBABLE ERROR
{hline 78}
{res}      899{txt}  obs. remaining, representing
{res}      183{txt}  subjects
{res}      128{txt}  failures in single failure-per-subject data
{res}    10177{txt}  total analysis time at risk, at risk from t = {res}        0
                             {txt}earliest observed entry t = {res}        0
                                  {txt}last observed exit t = {res}       96
{txt}
{com}. *Model 1*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res}-428.99327
{txt}Iteration 2:   log pseudolikelihood = {res}-422.12611
{txt}Iteration 3:   log pseudolikelihood = {res}-421.49101
{txt}Iteration 4:   log pseudolikelihood = {res}-421.15669
{txt}Iteration 5:   log pseudolikelihood = {res}-421.10331
{txt}Iteration 6:   log pseudolikelihood = {res}-421.10216
{txt}Iteration 7:   log pseudolikelihood = {res}-421.10216
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-421.10216

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}8{txt})    ={res}     97.37
{txt}Log pseudolikelihood =   {res}-421.10216                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9889939{col 26}{space 2}   .00538{col 37}{space 1}   -2.03{col 46}{space 3}0.042{col 54}{space 4} .9785052{col 67}{space 3}  .999595
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006279{col 26}{space 2} .0015114{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} 1.003321{col 67}{space 3} 1.009245
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7913333{col 26}{space 2} .0852391{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4} .6407249{col 67}{space 3} .9773437
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9289442{col 26}{space 2} .0329044{col 37}{space 1}   -2.08{col 46}{space 3}0.037{col 54}{space 4} .8666405{col 67}{space 3}  .995727
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.470062{col 26}{space 2} .1591742{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4} 1.188968{col 67}{space 3} 1.817613
{txt}population~n {c |}{col 14}{res}{space 2} 1.056316{col 26}{space 2} .0225329{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} 1.013063{col 67}{space 3} 1.101416
{txt}{space 6}polity {c |}{col 14}{res}{space 2}  1.03227{col 26}{space 2} .0101268{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} 1.012611{col 67}{space 3}  1.05231
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9792422{col 26}{space 2} .0245676{col 37}{space 1}   -0.84{col 46}{space 3}0.403{col 54}{space 4} .9322552{col 67}{space 3} 1.028597
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 2*;
. stcox  if ccode!=663&oecd_rich==0, vce( cluster ccode) tvc(aid_us aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-340.24781
{txt}Iteration 1:   log pseudolikelihood = {res}-335.76633
{txt}Iteration 2:   log pseudolikelihood = {res}-332.24646
{txt}Iteration 3:   log pseudolikelihood = {res}-324.26335{txt}  (backed up)
Iteration 4:   log pseudolikelihood = {res}-324.03746
{txt}Iteration 5:   log pseudolikelihood = {res}-321.54203
{txt}Iteration 6:   log pseudolikelihood = {res} -321.3679
{txt}Iteration 7:   log pseudolikelihood = {res}-321.34706
{txt}Iteration 8:   log pseudolikelihood = {res}-321.34701
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-321.34701

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         157                {txt}Number of obs   ={res}       557
{txt}No. of failures      = {res}         105
{txt}Time at risk         = {res}        9077
                                                   {txt}Wald chi2({res}8{txt})    ={res}     70.35
{txt}Log pseudolikelihood =   {res}-321.34701                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:121} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9904268{col 26}{space 2} .0053996{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4} .9799002{col 67}{space 3} 1.001066
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006919{col 26}{space 2} .0016507{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} 1.003689{col 67}{space 3} 1.010159
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7679115{col 26}{space 2}  .086739{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4} .6154095{col 67}{space 3} .9582044
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9621105{col 26}{space 2} .0177006{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4} .9280359{col 67}{space 3} .9974362
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 2.064989{col 26}{space 2} .3298912{col 37}{space 1}    4.54{col 46}{space 3}0.000{col 54}{space 4} 1.509853{col 67}{space 3} 2.824236
{txt}population~n {c |}{col 14}{res}{space 2} 1.065894{col 26}{space 2} .0242584{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} 1.019393{col 67}{space 3} 1.114516
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.029518{col 26}{space 2} .0101923{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} 1.009734{col 67}{space 3}  1.04969
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9676704{col 26}{space 2} .0256009{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4} .9187723{col 67}{space 3} 1.019171
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 3*;
. stcox if ccode!=663&euappmem==0, vce( cluster ccode) tvc(aid_us aid_eu mnna  gmo_tot population_ln polity gdp_percap_ln  ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-320.02282
{txt}Iteration 1:   log pseudolikelihood = {res} -307.8742
{txt}Iteration 2:   log pseudolikelihood = {res}-305.94919
{txt}Iteration 3:   log pseudolikelihood = {res}-305.29392
{txt}Iteration 4:   log pseudolikelihood = {res}-304.95313
{txt}Iteration 5:   log pseudolikelihood = {res}-304.89706
{txt}Iteration 6:   log pseudolikelihood = {res}-304.89583
{txt}Iteration 7:   log pseudolikelihood = {res}-304.89583
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-304.89583

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         154                {txt}Number of obs   ={res}       563
{txt}No. of failures      = {res}          99
{txt}Time at risk         = {res}        9215
                                                   {txt}Wald chi2({res}7{txt})    ={res}     28.72
{txt}Log pseudolikelihood =   {res}-304.89583                {txt}Prob > chi2     ={res}    0.0002

{txt}{ralign 78:(Std. Err. adjusted for {res:118} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9874521{col 26}{space 2} .0065791{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4} .9746412{col 67}{space 3} 1.000431
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.008746{col 26}{space 2} .0038831{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} 1.001164{col 67}{space 3} 1.016386
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7930529{col 26}{space 2} .0875272{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4} .6387887{col 67}{space 3}  .984571
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9277225{col 26}{space 2} .0329194{col 37}{space 1}   -2.11{col 46}{space 3}0.034{col 54}{space 4} .8653941{col 67}{space 3}   .99454
{txt}population~n {c |}{col 14}{res}{space 2} 1.067534{col 26}{space 2} .0263587{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} 1.017102{col 67}{space 3} 1.120467
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.030135{col 26}{space 2} .0105554{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} 1.009654{col 67}{space 3} 1.051033
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9775958{col 26}{space 2}  .026318{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4} .9273506{col 67}{space 3} 1.030563
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **Table 4**;
. *Model 4*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(mnna gmo_tot eumember  population_ln polity gdp_percap_ln pta_us pta_eu) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res}-431.48778
{txt}Iteration 2:   log pseudolikelihood = {res}-425.82085
{txt}Iteration 3:   log pseudolikelihood = {res}-425.53786
{txt}Iteration 4:   log pseudolikelihood = {res}-425.41563
{txt}Iteration 5:   log pseudolikelihood = {res}-425.39409
{txt}Iteration 6:   log pseudolikelihood = {res}-425.39351
{txt}Iteration 7:   log pseudolikelihood = {res}-425.39351
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-425.39351

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}8{txt})    ={res}     86.07
{txt}Log pseudolikelihood =   {res}-425.39351                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}mnna {c |}{col 14}{res}{space 2} .7915169{col 26}{space 2} .0758813{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} .6559292{col 67}{space 3} .9551319
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9502255{col 26}{space 2} .0205757{col 37}{space 1}   -2.36{col 46}{space 3}0.018{col 54}{space 4} .9107417{col 67}{space 3} .9914211
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.367202{col 26}{space 2} .1548269{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} 1.095064{col 67}{space 3}  1.70697
{txt}population~n {c |}{col 14}{res}{space 2} 1.048182{col 26}{space 2} .0198802{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} 1.009932{col 67}{space 3} 1.087879
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.031112{col 26}{space 2} .0095014{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} 1.012657{col 67}{space 3} 1.049904
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9977648{col 26}{space 2} .0257941{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4} .9484687{col 67}{space 3} 1.049623
{txt}{space 6}pta_us {c |}{col 14}{res}{space 2}   .68462{col 26}{space 2} .1352029{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4} .4648889{col 67}{space 3} 1.008208
{txt}{space 6}pta_eu {c |}{col 14}{res}{space 2} 1.202048{col 26}{space 2} .1040278{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} 1.014511{col 67}{space 3} 1.424251
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 5*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(export_eu export_us mnna gmo_tot eumember  population_ln polity gdp_percap_ln) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-372.20126
{txt}Iteration 1:   log pseudolikelihood = {res}-357.50859
{txt}Iteration 2:   log pseudolikelihood = {res}-346.94782
{txt}Iteration 3:   log pseudolikelihood = {res}-346.60748
{txt}Iteration 4:   log pseudolikelihood = {res}-346.60403
{txt}Iteration 5:   log pseudolikelihood = {res}-346.60403
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-346.60403

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       549
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}8{txt})    ={res}     70.94
{txt}Log pseudolikelihood =   {res}-346.60403                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:136} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}export_eu {c |}{col 14}{res}{space 2} 1.097219{col 26}{space 2} .0407285{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} 1.020227{col 67}{space 3} 1.180021
{txt}{space 3}export_us {c |}{col 14}{res}{space 2} .8178023{col 26}{space 2} .0835096{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4} .6694655{col 67}{space 3} .9990069
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .6420505{col 26}{space 2} .1244165{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4} .4391606{col 67}{space 3} .9386744
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9347576{col 26}{space 2} .0369574{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4} .8650579{col 67}{space 3} 1.010073
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.075708{col 26}{space 2} .1408803{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4} .8321787{col 67}{space 3} 1.390504
{txt}population~n {c |}{col 14}{res}{space 2} 1.053939{col 26}{space 2} .0236174{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} 1.008651{col 67}{space 3} 1.101259
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.044299{col 26}{space 2} .0116721{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} 1.021671{col 67}{space 3} 1.067429
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} 1.017716{col 26}{space 2} .0316315{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4} .9575703{col 67}{space 3}  1.08164
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 6*;
. stcox if ccode!=663, vce( cluster ccode) tvc(aid_us  aid_eu mnna gmo_tot eumember population_ln polity gdp_percap_ln carta_sign carta_rat_pct ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res}-428.90291
{txt}Iteration 2:   log pseudolikelihood = {res}-422.02882
{txt}Iteration 3:   log pseudolikelihood = {res}-421.33639
{txt}Iteration 4:   log pseudolikelihood = {res}-420.97909
{txt}Iteration 5:   log pseudolikelihood = {res}-420.92279
{txt}Iteration 6:   log pseudolikelihood = {res} -420.9215
{txt}Iteration 7:   log pseudolikelihood = {res}-420.92149
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-420.92149

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}10{txt})   ={res}     97.99
{txt}Log pseudolikelihood =   {res}-420.92149                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9895689{col 26}{space 2} .0053206{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} .9791954{col 67}{space 3} 1.000052
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006139{col 26}{space 2} .0015601{col 37}{space 1}    3.95{col 46}{space 3}0.000{col 54}{space 4} 1.003086{col 67}{space 3} 1.009201
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7956997{col 26}{space 2} .0848133{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4} .6456839{col 67}{space 3} .9805696
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9271504{col 26}{space 2} .0332751{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4} .8641735{col 67}{space 3} .9947169
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.447811{col 26}{space 2} .1630022{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4} 1.161125{col 67}{space 3}  1.80528
{txt}population~n {c |}{col 14}{res}{space 2} 1.055336{col 26}{space 2} .0227114{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} 1.011748{col 67}{space 3} 1.100802
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.030654{col 26}{space 2} .0103622{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} 1.010543{col 67}{space 3} 1.051164
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9812745{col 26}{space 2} .0252109{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4} .9330855{col 67}{space 3} 1.031952
{txt}{space 2}carta_sign {c |}{col 14}{res}{space 2} 1.035989{col 26}{space 2} .0659167{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4} .9145255{col 67}{space 3} 1.173584
{txt}carta_rat_~t {c |}{col 14}{res}{space 2} .9976373{col 26}{space 2}   .00562{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}  .986683{col 67}{space 3} 1.008713
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 7*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln europe americas africa asia  ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res}-426.29047
{txt}Iteration 2:   log pseudolikelihood = {res}-420.54047
{txt}Iteration 3:   log pseudolikelihood = {res} -420.1001
{txt}Iteration 4:   log pseudolikelihood = {res}-419.87293
{txt}Iteration 5:   log pseudolikelihood = {res}-419.82811
{txt}Iteration 6:   log pseudolikelihood = {res}-419.82705
{txt}Iteration 7:   log pseudolikelihood = {res}-419.82705
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-419.82705

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}12{txt})   ={res}     99.97
{txt}Log pseudolikelihood =   {res}-419.82705                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2}  .988316{col 26}{space 2} .0059006{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4} .9768184{col 67}{space 3} .9999489
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.005012{col 26}{space 2} .0020207{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} 1.001059{col 67}{space 3}  1.00898
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7698628{col 26}{space 2} .0872144{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4} .6165729{col 67}{space 3}  .961263
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9411895{col 26}{space 2} .0350338{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4} .8749694{col 67}{space 3} 1.012421
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.332596{col 26}{space 2} .2122945{col 37}{space 1}    1.80{col 46}{space 3}0.071{col 54}{space 4} .9752014{col 67}{space 3} 1.820969
{txt}population~n {c |}{col 14}{res}{space 2}  1.05178{col 26}{space 2}  .026667{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} 1.000791{col 67}{space 3} 1.105367
{txt}{space 6}polity {c |}{col 14}{res}{space 2}  1.03986{col 26}{space 2} .0120586{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} 1.016492{col 67}{space 3} 1.063765
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9859202{col 26}{space 2} .0295239{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4} .9297198{col 67}{space 3} 1.045518
{txt}{space 6}europe {c |}{col 14}{res}{space 2}  .991299{col 26}{space 2} .1432121{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4} .7468482{col 67}{space 3} 1.315761
{txt}{space 4}americas {c |}{col 14}{res}{space 2} .8438294{col 26}{space 2} .1090965{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4} .6549452{col 67}{space 3} 1.087187
{txt}{space 6}africa {c |}{col 14}{res}{space 2} .9595695{col 26}{space 2} .0903593{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4} .7978509{col 67}{space 3} 1.154067
{txt}{space 8}asia {c |}{col 14}{res}{space 2} .9217672{col 26}{space 2} .0803678{col 37}{space 1}   -0.93{col 46}{space 3}0.350{col 54}{space 4}  .776973{col 67}{space 3} 1.093545
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **Table 5**
> 
> 
> *Model 8*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us aid_eu mnna gmo_tot euapplicant eumember population_ln polity gdp_percap_ln) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res} -427.0498
{txt}Iteration 2:   log pseudolikelihood = {res}-421.16282
{txt}Iteration 3:   log pseudolikelihood = {res}-420.59255
{txt}Iteration 4:   log pseudolikelihood = {res}-420.28474
{txt}Iteration 5:   log pseudolikelihood = {res}-420.23198
{txt}Iteration 6:   log pseudolikelihood = {res}-420.23075
{txt}Iteration 7:   log pseudolikelihood = {res}-420.23075
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-420.23075

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}9{txt})    ={res}     96.60
{txt}Log pseudolikelihood =   {res}-420.23075                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9908162{col 26}{space 2} .0053426{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4}    .9804{col 67}{space 3} 1.001343
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.003917{col 26}{space 2} .0017819{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} 1.000431{col 67}{space 3} 1.007416
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7994383{col 26}{space 2} .0862553{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4} .6470601{col 67}{space 3} .9877006
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9327908{col 26}{space 2} .0322562{col 37}{space 1}   -2.01{col 46}{space 3}0.044{col 54}{space 4} .8716647{col 67}{space 3} .9982035
{txt}{space 1}euapplicant {c |}{col 14}{res}{space 2} 1.249732{col 26}{space 2} .1700568{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4} .9571719{col 67}{space 3} 1.631713
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.548011{col 26}{space 2} .1873377{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} 1.221133{col 67}{space 3} 1.962389
{txt}population~n {c |}{col 14}{res}{space 2} 1.053795{col 26}{space 2} .0219461{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} 1.011648{col 67}{space 3} 1.097699
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.030052{col 26}{space 2} .0103734{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4}  1.00992{col 67}{space 3} 1.050585
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9737023{col 26}{space 2}  .025397{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4} .9251761{col 67}{space 3} 1.024774
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 9*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln military govright presidential ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-440.03495
{txt}Iteration 1:   log pseudolikelihood = {res}-416.96957
{txt}Iteration 2:   log pseudolikelihood = {res}-410.49325
{txt}Iteration 3:   log pseudolikelihood = {res}-409.77209
{txt}Iteration 4:   log pseudolikelihood = {res}-409.36825
{txt}Iteration 5:   log pseudolikelihood = {res}-409.30954
{txt}Iteration 6:   log pseudolikelihood = {res}-409.30847
{txt}Iteration 7:   log pseudolikelihood = {res}-409.30847
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-409.30847

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       630
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}11{txt})   ={res}     87.44
{txt}Log pseudolikelihood =   {res}-409.30847                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:142} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9885215{col 26}{space 2} .0060328{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4} .9767679{col 67}{space 3} 1.000417
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.005996{col 26}{space 2} .0015938{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} 1.002877{col 67}{space 3} 1.009125
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7600573{col 26}{space 2} .0824523{col 37}{space 1}   -2.53{col 46}{space 3}0.011{col 54}{space 4} .6144783{col 67}{space 3} .9401262
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2}  .925315{col 26}{space 2} .0391855{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4} .8516139{col 67}{space 3} 1.005394
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.371167{col 26}{space 2} .1609135{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} 1.089425{col 67}{space 3} 1.725771
{txt}population~n {c |}{col 14}{res}{space 2} 1.050713{col 26}{space 2} .0243333{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} 1.004087{col 67}{space 3} 1.099505
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.036452{col 26}{space 2} .0114843{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} 1.014186{col 67}{space 3} 1.059207
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9740817{col 26}{space 2} .0266677{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4} .9231915{col 67}{space 3} 1.027777
{txt}{space 4}military {c |}{col 14}{res}{space 2} 1.044624{col 26}{space 2} .0872855{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}  .886822{col 67}{space 3} 1.230506
{txt}{space 4}govright {c |}{col 14}{res}{space 2} .8892196{col 26}{space 2} .0724925{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}  .757907{col 67}{space 3} 1.043283
{txt}presidential {c |}{col 14}{res}{space 2} .8983427{col 26}{space 2} .0596189{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4} .7887723{col 67}{space 3} 1.023134
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 10*;
. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us aid_eu mnna gmo_tot eumember population_ln polity gdp_percap_ln nato) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res} -429.1947
{txt}Iteration 2:   log pseudolikelihood = {res}-422.10382
{txt}Iteration 3:   log pseudolikelihood = {res}-421.43594
{txt}Iteration 4:   log pseudolikelihood = {res}-421.06512
{txt}Iteration 5:   log pseudolikelihood = {res}-421.00561
{txt}Iteration 6:   log pseudolikelihood = {res}-421.00438
{txt}Iteration 7:   log pseudolikelihood = {res}-421.00438
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-421.00438

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10130
                                                   {txt}Wald chi2({res}9{txt})    ={res}    100.83
{txt}Log pseudolikelihood =   {res}-421.00438                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9891021{col 26}{space 2} .0053619{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4} .9786487{col 67}{space 3} .9996672
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006167{col 26}{space 2} .0015364{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4}  1.00316{col 67}{space 3} 1.009183
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7949321{col 26}{space 2} .0859926{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4} .6430584{col 67}{space 3} .9826743
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9246061{col 26}{space 2} .0350893{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4} .8583278{col 67}{space 3} .9960023
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.415696{col 26}{space 2} .1638748{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} 1.128336{col 67}{space 3} 1.776239
{txt}population~n {c |}{col 14}{res}{space 2} 1.054702{col 26}{space 2} .0230795{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} 1.010423{col 67}{space 3} 1.100921
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.031916{col 26}{space 2} .0101847{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} 1.012146{col 67}{space 3} 1.052072
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9783698{col 26}{space 2} .0245881{col 37}{space 1}   -0.87{col 46}{space 3}0.384{col 54}{space 4} .9313456{col 67}{space 3} 1.027768
{txt}{space 8}nato {c |}{col 14}{res}{space 2} 1.058639{col 26}{space 2} .0845498{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4} .9052436{col 67}{space 3} 1.238028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **Table 6**
> 
> *Model 11*;
. stcox aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln if ccode!=663, vce( cluster ccode);

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-449.85901
{txt}Iteration 1:   log pseudolikelihood = {res}-429.29167
{txt}Iteration 2:   log pseudolikelihood = {res}-422.96561
{txt}Iteration 3:   log pseudolikelihood = {res}-422.31584
{txt}Iteration 4:   log pseudolikelihood = {res}-421.97883
{txt}Iteration 5:   log pseudolikelihood = {res}-421.92564
{txt}Iteration 6:   log pseudolikelihood = {res}-421.92449
{txt}Iteration 7:   log pseudolikelihood = {res}-421.92449
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-421.92449

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         144                {txt}Number of obs   ={res}       641
{txt}No. of failures      = {res}         101
{txt}Time at risk         = {res}        7217
                                                   {txt}Wald chi2({res}8{txt})    ={res}     88.97
{txt}Log pseudolikelihood =   {res}-421.92449                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9572519{col 26}{space 2} .0201867{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4} .9184931{col 67}{space 3} .9976462
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.020417{col 26}{space 2} .0057317{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} 1.009245{col 67}{space 3} 1.031713
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .3863261{col 26}{space 2} .1673875{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4} .1652514{col 67}{space 3} .9031565
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .7484516{col 26}{space 2} .1091167{col 37}{space 1}   -1.99{col 46}{space 3}0.047{col 54}{space 4} .5624282{col 67}{space 3} .9960023
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 3.164403{col 26}{space 2} 1.319305{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} 1.397681{col 67}{space 3} 7.164327
{txt}population~n {c |}{col 14}{res}{space 2} 1.182811{col 26}{space 2} .0949311{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} 1.010645{col 67}{space 3} 1.384305
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.137127{col 26}{space 2} .0431092{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} 1.055698{col 67}{space 3} 1.224838
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9408011{col 26}{space 2} .0909459{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4} .7784188{col 67}{space 3} 1.137057
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 12*;
. stset cartafail_mths, fail(cartafail_dum) id(ccode);

                {txt}id:  {res}ccode
     {txt}failure event:  {res}cartafail_dum != 0 & cartafail_dum < .
{txt}obs. time interval:  {res}(cartafail_mths[_n-1], cartafail_mths]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}     1342{txt}  total obs.
{res}      416{txt}  event time missing (cartafail_mths>=.)               PROBABLE ERROR
{hline 78}
{res}      926{txt}  obs. remaining, representing
{res}      183{txt}  subjects
{res}      126{txt}  failures in single failure-per-subject data
{res}    10471{txt}  total analysis time at risk, at risk from t = {res}        0
                             {txt}earliest observed entry t = {res}        0
                                  {txt}last observed exit t = {res}       96
{txt}
{com}. stcox  if ccode!=663, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember population_ln polity gdp_percap_ln  ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum
   {txt}analysis time _t:  {res}cartafail_mths
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-441.87087
{txt}Iteration 1:   log pseudolikelihood = {res}-426.03824
{txt}Iteration 2:   log pseudolikelihood = {res}-417.22929
{txt}Iteration 3:   log pseudolikelihood = {res}-416.69333
{txt}Iteration 4:   log pseudolikelihood = {res} -416.4108
{txt}Iteration 5:   log pseudolikelihood = {res}-416.36449
{txt}Iteration 6:   log pseudolikelihood = {res}-416.36352
{txt}Iteration 7:   log pseudolikelihood = {res}-416.36352
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-416.36352

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         182                {txt}Number of obs   ={res}       664
{txt}No. of failures      = {res}         125
{txt}Time at risk         = {res}       10424
                                                   {txt}Wald chi2({res}8{txt})    ={res}     76.86
{txt}Log pseudolikelihood =   {res}-416.36352                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:144} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9908289{col 26}{space 2} .0051929{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4} .9807032{col 67}{space 3} 1.001059
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.004349{col 26}{space 2} .0008418{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} 1.002701{col 67}{space 3} 1.006001
{txt}{space 8}mnna {c |}{col 14}{res}{space 2}  .798732{col 26}{space 2} .0865821{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4} .6458495{col 67}{space 3} .9878042
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9350669{col 26}{space 2} .0310764{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4} .8760997{col 67}{space 3}  .998003
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.304309{col 26}{space 2} .1525126{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} 1.037169{col 67}{space 3} 1.640255
{txt}population~n {c |}{col 14}{res}{space 2} 1.059502{col 26}{space 2} .0219703{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} 1.017304{col 67}{space 3}  1.10345
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.028301{col 26}{space 2} .0099921{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} 1.008902{col 67}{space 3} 1.048073
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9654671{col 26}{space 2} .0254484{col 37}{space 1}   -1.33{col 46}{space 3}0.182{col 54}{space 4} .9168557{col 67}{space 3} 1.016656
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 13*;
. drop  cartafail_years _spline*;
{txt}
{com}. btscs cartafail_dum1 year ccode, g(cartafail_years) nspline(4);
{txt}
{com}. logit cartafail_dum1  aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln _spline* if ccode!=663;

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-279.22737}  
Iteration 1:{space 3}log likelihood = {res:-221.29158}  
Iteration 2:{space 3}log likelihood = {res:-207.40439}  
Iteration 3:{space 3}log likelihood = {res:-205.82196}  
Iteration 4:{space 3}log likelihood = {res:-205.52348}  
Iteration 5:{space 3}log likelihood = {res:-205.51607}  
Iteration 6:{space 3}log likelihood = {res:-205.51607}  
{res}
{txt}Logistic regression{col 51}Number of obs{col 67}= {res}       641
{txt}{col 51}LR chi2({res}12{txt}){col 67}= {res}    147.42
{txt}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-205.51607{txt}{col 51}Pseudo R2{col 67}= {res}    0.2640

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}cartafail~m1{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} -.071812{col 26}{space 2} .0279376{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.1265687{col 67}{space 3}-.0170554
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2}  .048525{col 26}{space 2} .0127415{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4}  .023552{col 67}{space 3} .0734979
{txt}{space 8}mnna {c |}{col 14}{res}{space 2}-1.172914{col 26}{space 2} .6036411{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-2.356028{col 67}{space 3} .0102012
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} -.368248{col 26}{space 2} .2233093{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.8059262{col 67}{space 3} .0694302
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.861056{col 26}{space 2} .5654047{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4}  .752883{col 67}{space 3} 2.969229
{txt}population~n {c |}{col 14}{res}{space 2} .2460067{col 26}{space 2} .1006336{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0487685{col 67}{space 3} .4432448
{txt}{space 6}polity {c |}{col 14}{res}{space 2} .1782091{col 26}{space 2} .0471884{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .0857216{col 67}{space 3} .2706966
{txt}gdp_percap~n {c |}{col 14}{res}{space 2}-.0332169{col 26}{space 2} .1116737{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4}-.2520934{col 67}{space 3} .1856596
{txt}{space 4}_spline1 {c |}{col 14}{res}{space 2}  .164345{col 26}{space 2} .1050298{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0415097{col 67}{space 3} .3701996
{txt}{space 4}_spline2 {c |}{col 14}{res}{space 2} -.940292{col 26}{space 2}   .15241{col 37}{space 1}   -6.17{col 46}{space 3}0.000{col 54}{space 4} -1.23901{col 67}{space 3}-.6415738
{txt}{space 4}_spline3 {c |}{col 14}{res}{space 2} 1.742556{col 26}{space 2}  .417419{col 37}{space 1}    4.17{col 46}{space 3}0.000{col 54}{space 4} .9244299{col 67}{space 3} 2.560682
{txt}{space 4}_spline4 {c |}{col 14}{res}{space 2}-2.003132{col 26}{space 2} .7080743{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-3.390932{col 67}{space 3}-.6153322
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-9.049491{col 26}{space 2}   2.0684{col 37}{space 1}   -4.38{col 46}{space 3}0.000{col 54}{space 4}-13.10348{col 67}{space 3}-4.995503
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. **Table 7**;
. stset cartafail_mths1, fail(cartafail_dum1) id(ccode);

                {txt}id:  {res}ccode
     {txt}failure event:  {res}cartafail_dum1 != 0 & cartafail_dum1 < .
{txt}obs. time interval:  {res}(cartafail_mths1[_n-1], cartafail_mths1]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}     1342{txt}  total obs.
{res}      443{txt}  event time missing (cartafail_mths1>=.)              PROBABLE ERROR
{hline 78}
{res}      899{txt}  obs. remaining, representing
{res}      183{txt}  subjects
{res}      128{txt}  failures in single failure-per-subject data
{res}    10177{txt}  total analysis time at risk, at risk from t = {res}        0
                             {txt}earliest observed entry t = {res}        0
                                  {txt}last observed exit t = {res}       96
{txt}
{com}. *Model 14*;
. stcox if year>=1999, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-454.82362
{txt}Iteration 1:   log pseudolikelihood = {res}-435.47161
{txt}Iteration 2:   log pseudolikelihood = {res}-429.08694
{txt}Iteration 3:   log pseudolikelihood = {res}-428.53141
{txt}Iteration 4:   log pseudolikelihood = {res}-428.23757
{txt}Iteration 5:   log pseudolikelihood = {res}-428.18878
{txt}Iteration 6:   log pseudolikelihood = {res}-428.18764
{txt}Iteration 7:   log pseudolikelihood = {res}-428.18764
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-428.18764

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         183                {txt}Number of obs   ={res}       645
{txt}No. of failures      = {res}         128
{txt}Time at risk         = {res}       10177
                                                   {txt}Wald chi2({res}8{txt})    ={res}     93.24
{txt}Log pseudolikelihood =   {res}-428.18764                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:145} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9954175{col 26}{space 2} .0055976{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4} .9845067{col 67}{space 3} 1.006449
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006429{col 26}{space 2}  .001464{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} 1.003564{col 67}{space 3} 1.009302
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .8435273{col 26}{space 2} .0901911{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4} .6840495{col 67}{space 3} 1.040185
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9328968{col 26}{space 2} .0308127{col 37}{space 1}   -2.10{col 46}{space 3}0.035{col 54}{space 4} .8744182{col 67}{space 3} .9952862
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.507243{col 26}{space 2}  .164679{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} 1.216697{col 67}{space 3} 1.867171
{txt}population~n {c |}{col 14}{res}{space 2} 1.060029{col 26}{space 2} .0225168{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4} 1.016803{col 67}{space 3} 1.105093
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.028131{col 26}{space 2}  .010214{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} 1.008305{col 67}{space 3} 1.048346
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9823195{col 26}{space 2} .0242391{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4} .9359423{col 67}{space 3} 1.030995
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 15*;
. stcox if year>=1999&ccode!=663&ccode!=666, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-448.67724
{txt}Iteration 1:   log pseudolikelihood = {res}-427.81992
{txt}Iteration 2:   log pseudolikelihood = {res}-421.89198
{txt}Iteration 3:   log pseudolikelihood = {res}-421.29042
{txt}Iteration 4:   log pseudolikelihood = {res}-420.95817
{txt}Iteration 5:   log pseudolikelihood = {res}-420.90553
{txt}Iteration 6:   log pseudolikelihood = {res} -420.9044
{txt}Iteration 7:   log pseudolikelihood = {res}-420.90439
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-420.90439

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         181                {txt}Number of obs   ={res}       635
{txt}No. of failures      = {res}         127
{txt}Time at risk         = {res}       10046
                                                   {txt}Wald chi2({res}8{txt})    ={res}     96.78
{txt}Log pseudolikelihood =   {res}-420.90439                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:143} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9890477{col 26}{space 2} .0055587{col 37}{space 1}   -1.96{col 46}{space 3}0.050{col 54}{space 4} .9782127{col 67}{space 3} 1.000003
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006247{col 26}{space 2} .0015107{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} 1.003291{col 67}{space 3} 1.009213
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7993566{col 26}{space 2}  .086194{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4} .6470773{col 67}{space 3} .9874723
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9288645{col 26}{space 2} .0328818{col 37}{space 1}   -2.08{col 46}{space 3}0.037{col 54}{space 4} .8666023{col 67}{space 3}    .9956
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.466933{col 26}{space 2} .1588062{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} 1.186483{col 67}{space 3} 1.813673
{txt}population~n {c |}{col 14}{res}{space 2} 1.055862{col 26}{space 2}  .022577{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} 1.012527{col 67}{space 3} 1.101053
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.032415{col 26}{space 2} .0101485{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} 1.012715{col 67}{space 3} 1.052498
{txt}gdp_percap~n {c |}{col 14}{res}{space 2}  .979893{col 26}{space 2} .0246222{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4} .9328034{col 67}{space 3}  1.02936
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *Model 16*;
. stcox if year>=1999&ccode!=663&ccode!=651, vce( cluster ccode) tvc(aid_us   aid_eu mnna gmo_tot eumember  population_ln polity gdp_percap_ln ) texp(ln(_t));

         {txt}failure _d:  {res}cartafail_dum1
   {txt}analysis time _t:  {res}cartafail_mths1
                 {txt}id:  {res}ccode

{txt}Iteration 0:   log pseudolikelihood = {res}-444.95483
{txt}Iteration 1:   log pseudolikelihood = {res}-423.39896
{txt}Iteration 2:   log pseudolikelihood = {res}-416.38584
{txt}Iteration 3:   log pseudolikelihood = {res}-415.73153
{txt}Iteration 4:   log pseudolikelihood = {res} -415.3834
{txt}Iteration 5:   log pseudolikelihood = {res}-415.32924
{txt}Iteration 6:   log pseudolikelihood = {res}-415.32816
{txt}Iteration 7:   log pseudolikelihood = {res}-415.32816
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-415.32816

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}         181                {txt}Number of obs   ={res}       637
{txt}No. of failures      = {res}         126
{txt}Time at risk         = {res}       10082
                                                   {txt}Wald chi2({res}8{txt})    ={res}    102.45
{txt}Log pseudolikelihood =   {res}-415.32816                {txt}Prob > chi2     ={res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:143} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}aid_us {c |}{col 14}{res}{space 2} .9874854{col 26}{space 2} .0056078{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4} .9765553{col 67}{space 3} .9985377
{txt}{space 6}aid_eu {c |}{col 14}{res}{space 2} 1.006144{col 26}{space 2} .0015298{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4}  1.00315{col 67}{space 3} 1.009147
{txt}{space 8}mnna {c |}{col 14}{res}{space 2} .7472217{col 26}{space 2} .0792555{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4} .6069672{col 67}{space 3} .9198856
{txt}{space 5}gmo_tot {c |}{col 14}{res}{space 2} .9280508{col 26}{space 2}   .03432{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4} .8631647{col 67}{space 3} .9978146
{txt}{space 4}eumember {c |}{col 14}{res}{space 2} 1.451018{col 26}{space 2} .1587632{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} 1.170951{col 67}{space 3} 1.798072
{txt}population~n {c |}{col 14}{res}{space 2} 1.053943{col 26}{space 2} .0227367{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} 1.010309{col 67}{space 3} 1.099462
{txt}{space 6}polity {c |}{col 14}{res}{space 2} 1.034863{col 26}{space 2} .0101992{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} 1.015064{col 67}{space 3} 1.055047
{txt}gdp_percap~n {c |}{col 14}{res}{space 2} .9791126{col 26}{space 2} .0250382{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4} .9312482{col 67}{space 3} 1.029437
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. log close;
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/Christina/Dropbox/Work/Projects/2011/Cartagena/analysis/replication package/cartagena_replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Jun 2011, 11:41:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}